sf-rebuttal
Use when writing the response to a Social Forces (SF) revise-and-resubmit. SF reviewers prize methodological rigor and general significance, and most published papers go through at least one R&R, so the response must convert each reviewer without alienating the editor — all while keeping the revision within the reference-inclusive 10,000-word and 10-panel limits. Structures the response letter; it does not fabricate new results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sf-rebuttal --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# R&R Rebuttal (sf-rebuttal) A Social Forces **R&R is the normal road to publication** — most accepted papers pass through one. The response letter must move *every* reviewer toward yes while keeping the editor confident the revision is convergent. The SF-specific twist: each new analysis or paragraph you add must still fit the **10,000-word cap (references included)** and the **10 tables-and-figu
What does the sf-rebuttal skill do?
Use when writing the response to a Social Forces (SF) revise-and-resubmit. SF reviewers prize methodological rigor and general significance, and most published papers go through at least one R&R, so the response must convert each reviewer without alienating the editor — all while keeping the revision within the reference-inclusive 10,000-word and 10-panel limits. Structures the response letter; it does not fabricate new results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sf-rebuttal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.